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to demonstrate prior achievement. University degree in any field with 3–7 years of relevant experience (multiple roles and/or post-PhD), with a strong preference for life sciences or health backgrounds and/or
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learning (RL), such as (but not limited to) Theory of online learning, reinforcement learning, and data-driven control Learning in games, and multi-agent RL RLHF and alignment in LLMs Representation learning
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to new potential partners, service providers, and collaborators who can bring direct value to affiliated startups. Actively scout and screen entrepreneurial talent, ensuring alignment with our community’s
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technologies promise to revolutionize multiple branches of science by solving problems that cannot be tackled by classical systems. While efficient and large-scale quantum computers are still far from being